Overview
Synthetic genetic networks are bioreprogrammable systems which are engineered to build artificial genetic circuits with the aim of performing a specific task. Synthetic genetic networks are a biological computing tool which can be used to control the behavior of living cells and to program a variety of tasks such as cell signaling, drug delivery, diagnostics, and gene regulation. Synthetic genetic networks are used in a wide range of applications and are an especially powerful tool for molecular biology research. These networks allow scientists to explore and manipulate the behavior of different cells, to study the effects of gene expression on development and disease, and to create novel treatments for diseases. The potential of synthetic genetic networks is vast, allowing new discoveries in areas like cancer, metabolic diseases, and tissue engineering. Additionally, they have the potential to revolutionize personalized medicine and the way we develop new drugs as they allow us to design and optimize cell treatments tailored to individual patients.
Research published in this journal
1 peer-reviewed article, ranked by relevance. Each links to its DOI.
How this research is being cited
The 1 article above has been cited 67 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Nov 2026.
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2026 · Emergent Materials
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2026 · Emergent Materials
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2025 · Environments
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2025 · Environments
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2025 · Elsevier eBooks
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2025 · Exploration of BioMat-X
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C. Agnes et al. · 2025 · Exploration of BioMat-X
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C. Agnes et al. · 2025 · International Journal of Biological Macromolecules
A sample of recent works citing this journal's research on Synthetic Genetic Networks, linking to each citing work.